Interpretable Classifiers Based on Time-Series Motifs for Lane Change Prediction.
Kathrin KleinOliver De CandidoWolfgang UtschickPublished in: IEEE Trans. Intell. Veh. (2023)
Keyphrases
- lane change
- financial time series
- prediction accuracy
- motif discovery
- training data
- exponential smoothing
- moving average
- dna sequences
- decision trees
- machine learning algorithms
- classification models
- ensemble classifier
- feature selection
- box jenkins
- chaotic time series
- extreme values
- traffic flow
- neural network
- non stationary
- temporal patterns
- motif discovery algorithm
- support vector
- feature set
- anomaly detection
- prediction model
- multi layer perceptron
- autoregressive
- class labels
- stock market
- protein function prediction
- multivariate time series
- dynamic time warping
- neural networks and support vector machines